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DBMS > AlaSQL vs. Apache Phoenix vs. ArcadeDB vs. GigaSpaces vs. H2

System Properties Comparison AlaSQL vs. Apache Phoenix vs. ArcadeDB vs. GigaSpaces vs. H2

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonArcadeDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparison
DescriptionJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitealasql.orgphoenix.apache.orgarcadedb.comwww.gigaspaces.comwww.h2database.com
Technical documentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orgdocs.arcadedb.comdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationArcade DataGigaspaces TechnologiesThomas Mueller
Initial release20142014202120002005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019September 202115.5, September 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaJava, C++, .NetJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
All OS with a Java VMLinux
macOS
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like query language, no joinsSQL-99 for query and DML statementsyes
APIs and other access methodsJavaScript APIJDBCJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java.Net
C++
Java
Python
Scala
Java
Server-side scripts infoStored proceduresnouser defined functionsyesJava Stored Procedures and User-Defined Functions
Triggersyesnoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access controlfine grained access rights according to SQL-standard

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More resources
AlaSQLApache PhoenixArcadeDBGigaSpacesH2
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